NDLI: FD-based detector for medical image watermarking

Content Provider	IET Digital Library
Author	Kumar, Sumit Jha, Rajib Kumar
Abstract	In this study, the authors propose a novel technique for medical image watermark detection using the concept of the fractional differentiator (FD). The feature of FD as a non-linear high-pass filter helps in watermark detection. In the region of non-interest, the watermark image has been added in a mid-band frequency range of the discrete cosine transform coefficients of 8 × 8 different blocks by generating direct spread spectrum sequence. Their scheme produces noise-free watermarked medical images. Furthermore, they derive the test statistics of the proposed detector, which is characterised by the fractional order q. The average errors in pixels (PEs), peak-signal-to-noise ratio (PSNR), structural similarity index (SSIM) and cross-correlation coefficient (CC) have been used to quantify the capability of the proposed technique over some state-of-the-art techniques. The proposed technique shows that at a particular value of fractional order q, there is a significant reduction in average PEs. It causes an increment in PSNR, SSIM and CC. The proposed technique is tested on a large number of medical images and it is found that their proposed technique works better or comparable with other state-of-the-art techniques.
Starting Page	1773
Ending Page	1782
Page Count	10
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 10, Aug (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5485
Journal	IET Image Processing
Publisher Date	2019-06-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biology And Medical Computing Biomedical Measurement And Imaging Computer Vision And Image Processing Technique Cross-correlation Coefficient Data Security Direct Spread Spectrum Sequence Discrete Cosine Transform FD-based Detector Fractional Differentiator Fractional Order Function Theory And Analysis Image Watermarking Integral Transforms in Numerical Analysis Medical Image Processing Medical Image Watermark Detection Mid-band Frequency Range Noise-free Watermarked Medical Image Nonlinear High-pass Filter Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Structural Similarity Index
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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